@article{EbertMeyerLeffersetal.2016,
  author    = {Ebert, Franziska and Meyer, S{\"o}ren and Leffers, Larissa and Raber, Georg and Francesconi, Kevin A. and Schwerdtle, Tanja},
  title     = {Toxicological characterisation of a thio-arsenosugar-glycerol in human cells},
  series = {Journal of trace elements in medicine and biology},
  volume    = {38},
  journal   = {Journal of trace elements in medicine and biology},
  publisher = {Springer Publishing Company},
  address   = {Jena},
  issn      = {0946-672X},
  doi       = {10.1016/j.jtemb.2016.04.013},
  pages     = {150 -- 156},
  year      = {2016},
  abstract  = {Arsenosugars are water-soluble arsenic species predominant in marine algae and other seafood including mussels and oysters. They typically occur at levels ranging from 2 to 50 mg arsenic/kg dry weight. Most of the arsenosugars contain arsenic as a dimethylarsinoyl group (Me2As(O)-), commonly referred to as the oxo forms, but thio analogues have also been identified in marine organisms and as metabolic products of oxo-arsenosugars. So far, no data regarding toxicity and toxicokinetics of thio-arsenosugars are available. This in vitro-based study indicates that thio-dimethylarsenosugar-glycerol exerts neither pronounced cytotoxicity nor genotoxicity even though this arsenical was bioavailable to human hepatic (HepG2) and urothelial (UROtsa) cells. Experiments with the Caco-2 intestinal barrier model mimicking human absorption indicate for the thio-arsenosugar-glycerol higher intestinal bioavailability as compared to the oxo-arsenosugars. Nevertheless, absorption estimates were much lower in comparison to other arsenicals including arsenite and arsenic-containing hydrocarbons. Arsenic speciation in cell lysates revealed that HepG2 cells are able to metabolise the thio-arsenosugar-glycerol to some extent to dimethylarsinic acid (DMA). These first in vitro data cannot fully exclude risks to human health related to the presence of thio-arsenosugars in food. (C) 2016 Elsevier GmbH. All rights reserved.},
  language  = {en}
}
@article{CzolkosDockTonningetal.2016,
  author    = {Czolkos, Ilja and Dock, Eva and Tonning, Erik and Christensen, Jakob and Winther-Nielsen, Margrethe and Carlsson, Charlotte and Mojzikova, Renata and Skladal, Petr and Wollenberger, Ursula and Norgaard, Lars and Ruzgas, Tautgirdas and Emneus, Jenny},
  title     = {Prediction of wastewater quality using amperometric bioelectronic tongues},
  series = {Marine policy},
  volume    = {75},
  journal   = {Marine policy},
  publisher = {Elsevier},
  address   = {Oxford},
  issn      = {0956-5663},
  doi       = {10.1016/j.bios.2015.08.055},
  pages     = {375 -- 382},
  year      = {2016},
  abstract  = {Wastewater samples from a Swedish chemi-thermo-mechanical pulp (CTMP) mill collected at different purification stages in a wastewater treatment plant (WWTP) were analyzed with an amperometric enzyme-based biosensor array in a flow-injection system. In order to resolve the complex composition of the wastewater, the array consists of several sensing elements which yield a multidimensional response. We used principal component analysis (PCA) to decompose the array's responses, and found that wastewater with different degrees of pollution can be differentiated. With the help of partial least squares regression (PLS-R), we could link the sensor responses to the toxicity parameter, as well as to global organic pollution parameters (COD, BOD, and TOC). From investigating the influences of individual sensors in the array, it was found that the best models were in most cases obtained when all sensors in the array were included in the PLS-R model. We find that fast simultaneous determination of several global environmental parameters characterizing wastewaters is possible with this kind of biosensor array, in particular because of the link between the sensor responses and the biological effect onto the ecosystem into which the wastewater would be released. In conjunction with multivariate data analysis tools, there is strong potential to reduce the total time until a result is yielded from days to a few minutes.},
  language  = {en}
}